Computer graphics strives to create realistic images, often using light simulation methods to compute lighting and shadows. The result, however, often merely consists of a nice image without any physical significance. Therefore, a physically correct simulation, and thus photometric and colorimetric consistency are essential to be able to base design decisions on simulated data. But even the availability of correct data is insufficient to really evaluate and assess aspects such as readability or glare of car instruments, since presentation of the computed data on various display systems results in different color and brightness for each display. The concept of photometric and colorimetric consistency therefore has to be extended to the display step by calibrating all involved displays to ensure a 1:1reproduction of the simulated data. Another aspect lies in the emerging area of augmented reality, in which photographs are augmented with virtual objects. These objects usually appear very artificial since the real illumination situation present in the picture is not taken into account. Reconstructing the real lighting situation therefore is required to illuminate the virtual objects accordingly and integrate them seamlessly and photometrically consistent into the real scenario. Within this thesis, the resulting problems are investigated, and efficient solutions for them are developed and implemented: Starting from the raw data of a CAD model or pixel values in a photograph, the data preparation and reconstruction steps are simplified significantly. The radiosity system for light simulation developed in this thesis then uses this input data for the simulation of complex scenes with efficient, structured mesh refinement and reliable visibility classification. The simulated data can then be represented on different display types, which will be calibrated concerning color gamut, black value, gamma response and uniformity in intensity using a novel and automatic display calibration method developed in this thesis, enabling consistent reproduction of physically correct data, as well as identical display of uncalibrated information such as photographs or presentation slides. The work of this thesis enables photometric and colorimetric consistency throughout the whole visualisation pipeline, and therefore quantitative correctness, and facilitates usability of the individual steps by automated control of both simulation and calibration, resulting in an encompassing consistency framework as a closed solution for the simulation and representation of diverse input data.